Authors : R. Anandhi, M. E.; Bhuvaneswari M.; Dharshini S.; Dhansika R.

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/u84fham9

Scribd : https://tinyurl.com/4kbr6yef

DOI : https://doi.org/10.38124/ijisrt/26mar1553

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : In order to facilitate real-time medical diagnosis, ongoing patient monitoring, and automated medication dispensation via mobile and web platforms, this study proposes a safe and intelligent IoT-AI-cloud-based healthcare system. The device's IoT-enabled clinical sensors capture vital health signs, such as body temperature, oxygen saturation levels, and cardiovascular activity (SpO₂). The data is safely transferred to the cloud's storage and processing environment. In order to detect abnormal trends, produce early warning alarms, and provide personalized diagnostic results, sophisticated neural networks and machine learning techniques are used to evaluate both historical and current health data. A smart pharmaceutical dispensing machine improves treatment adherence while reducing manual supervision and dosage errors by automatically delivering precise medicine dosages at predetermined intervals based on the analytical results. Mobile and web applications that show real-time health indicators, diagnostic results, prescription regimens, and alert notifications allow healthcare providers and caregivers to remotely monitor patient status. The framework uses identity, secure role-based surveillance methods, and encrypted communication to guarantee privacy and secure processing of sensitive medical data. The proposal offers a flexible and intelligent healthcare solution that improves diagnostic precision, permits proactive medical intervention, and fosters the development of next- generation linked healthcare services.

Keywords : Cloud-Based Health Analytics, Automated Medication Dispensing, Biomedical Sensor Networks, Internet of Things (IoT), Artificial Intelligence, Remote Patient Monitoring, Smart Healthcare Systems, and Healthcare Data Security.

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